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Comparative Study of Optimal Multivariable LQR and MPC Controllers for Unmanned Combat Air Systems in Trajectory Tracking
| Content Provider | MDPI |
|---|---|
| Author | Ortiz, Alvaro Garcia-Nieto, Sergio Simarro, Raul |
| Copyright Year | 2021 |
| Description | Guidance, navigation, and control system design is, undoubtedly, one of the most relevant issues in any type of unmanned aerial vehicle, especially in the case of military missions. This task needs to be performed in the most efficient way possible, which involves trying to satisfy a set of requirements that are sometimes in opposition. The purpose of this article was to compare two different control strategies in conjunction with a path-planning and guidance system with the objective of completing military missions in the most satisfactory way. For this purpose, a novel dynamic trajectory-planning algorithm is employed, which can obtain an appropriate trajectory by analyzing the environment as a discrete 3D adaptive mesh and performs a softening process a posteriori. Moreover, two multivariable control techniques are proposed, i.e., the linear quadratic regulator and the model predictive control, which were designed to offer optimal responses in terms of stability and robustness. |
| Starting Page | 331 |
| e-ISSN | 20799292 |
| DOI | 10.3390/electronics10030331 |
| Journal | Electronics |
| Issue Number | 3 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-02-01 |
| Access Restriction | Open |
| Subject Keyword | Electronics Aerospace Engineering Unmanned Aerial Vehicles (uav) Algorithm Uav Control Tracking Octree Mapping Sensors and Actuators in Uavs Path Planning Rectangloid Trajectory |
| Content Type | Text |
| Resource Type | Article |
